[CuDNN] Increase test tol for sm80 and higher

tests/cuda/test_cudnn.py

@@ -11,6 +11,7 @@
 # limitations under the License.
 import pytest
 import math
+import torch
 import hidet
 from hidet import ops
 from hidet.cuda.cudnn import cudnnDataType
@@ -92,11 +93,6 @@ def test_cudnn_conv2d(n, c, h, w, k, p, q, r, s, dtype, compute_type, padding, s
     ],
 )
 def test_cudnn_conv2d_gemm(n, c, h, w, k, p, q, r, s, dtype, compute_type, padding, stride, dilations, tol):
-    # Disable TF32 operations on Ampere architecture to avoid losing precision.
-    import os
-
-    os.environ["NVIDIA_TF32_OVERRIDE"] = "0"
-
     tx = tw = ty = dtype
     pad_dim1, pad_dim2 = padding
     str_dim1, str_dim2 = stride
@@ -132,6 +128,9 @@ def test_cudnn_conv2d_gemm(n, c, h, w, k, p, q, r, s, dtype, compute_type, paddi
         dil_dim2,
     )
 
+    if dtype == hidet.float32 and torch.cuda.get_device_capability()[0] >= 8:
+        tol = 1e-2
+
     hidet.utils.assert_close(actual=tensor_y, expected=golden, rtol=tol, atol=tol)